Checks CSV, JSON, and database exports for schema, completeness, consistency, uniqueness, and business-rule violations.
---
name: data-validator
description: >-
Validate data quality in CSV, JSON, and database exports by checking for
missing values, type mismatches, duplicates, outliers, and schema violations.
Use when building ETL pipelines, auditing data imports, checking data freshness,
or ensuring data contracts between teams. Trigger words: data quality, validation,
null values, duplicates, schema check, data contract, ETL, pipeline, data drift.
license: Apache-2.0
compatibility: "Works with CSV, JSON, Parquet (via Python), and SQL query results"
metadata:
author: terminal-skills
version: "1.0.0"
category: data-ai
tags: ["data-quality", "validation", "etl", "data-pipeline"]
---
# Data Validator
## Overview
Perform comprehensive data quality checks on datasets — validate schemas, detect anomalies, find duplicates, and enforce data contracts. Essential for ETL pipelines where bad data silently corrupts downstream analytics and dashboards.
## Instructions
… load the full skill through Skill Me